A Study on Some Approximations on the Average Number of the LLL Bases in Higher Dimensions

The Lenstra-Lenstra-Lovász (LLL) algorithm, known as one of the main algorithms to decrypt the ciphertext encrypted by Lattice-based cryptography, outputs short basis vectors for n dimensional vectors represented by n × n matrix. One of the indicators that determine the quality of this LLL algorithm is the average number of the LLL bases, and there is a result related to the average number of the (δ, η)-LLL bases in dimension n in theoretical sense but the formula seems to be complicated and computing in high dimension takes a long time. In practical sense, we suggest some approximations which can be computed by just storing some constants and computing relatively simple exponential functions. To obtain the approximated results, we first express the existing results in a slightly simpler form, execute individual approximation for the part that takes a long time to calculate, and then combine the results. By finding the approximated value of the average number much faster, it helps to discuss the quality of the LLL algorithm for dimension n faster. Furthermore, in this process, we find a more precise upper bound of the average number of the (δ, η)-LLL bases in higher dimensions.

Authors

Institutions

Publication Details

Journal
Contemporary Mathematics
Published
2025-05-09
DOI
https://doi.org/10.37256/cm.6320256180
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Some Approximations on the Average Number of the LLL Bases in Higher Dimensions

Kyunghwan Song, Jaewon Jung
Contemporary Mathematics
Cryptography and Data Security
article

A Study on Some Approximations on the Average Number of the LLL Bases in Higher Dimensions

Kyunghwan Song, Jaewon Jung
article en

Abstract

The Lenstra-Lenstra-Lovász (LLL) algorithm, known as one of the main algorithms to decrypt the ciphertext encrypted by Lattice-based cryptography, outputs short basis vectors for n dimensional vectors represented by n × n matrix. One of the indicators that determine the quality of this LLL algorithm is the average number of the LLL bases, and there is a result related to the average number of the (δ, η)-LLL bases in dimension n in theoretical sense but the formula seems to be complicated and computing in high dimension takes a long time. In practical sense, we suggest some approximations which can be computed by just storing some constants and computing relatively simple exponential functions. To obtain the approximated results, we first express the existing results in a slightly simpler form, execute individual approximation for the part that takes a long time to calculate, and then combine the results. By finding the approximated value of the average number much faster, it helps to discuss the quality of the LLL algorithm for dimension n faster. Furthermore, in this process, we find a more precise upper bound of the average number of the (δ, η)-LLL bases in higher dimensions.

Contemporary Mathematics
Korea University (KR), Jeju National University (KR)
Jeju National University
Openalex Percentile: Top 100%
Cryptography and Data Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Study on Some Approximations on the Average Number of the LLL Bases in Higher Dimensions — Kyunghwan Song, Jaewon Jung · Contemporary Mathematics (2025) | TGRS Research Map | TGRS